Machine-generated contents note: 1.1. Introduction -- 1.2. Energy Sources and Radiation Principles -- 1.3. Energy Interactions in the Atmosphere -- 1.4. Energy Interactions with Earth Surface Features ...

The Journal of Geo-information Science recently published an online article on research led by researcher Lianfa Li and researcher Xiaomei Yang (Institute of Geographic Sciences and Natural Resources ...

Oil pollution remains a critical environmental challenge with extensive impacts on marine and coastal ecosystems. Remote sensing offers a powerful, non-invasive means to detect, quantify and monitor ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

The persistent challenge in remote sensing and cartographic science lies in reconciling the geometric fidelity of vectorized outputs with real-world cartographic specifications, while simultaneously ...

Add Python to Your Modern GIS Toolkit. Python, that high-level, interpreted programming language known for its simplicity, readability, versatility, and library support, is changing the face of ...

Asset and vegetation management applications help utilities minimize risk and improve the reliability of electric distribution networks Geospatial data firm NV5 Geospatial is applying remote-sensing ...

Shell has developed open standards software to fill the gap of moving distributed-temperature sensing (DTS) data from the wellsite to the engineer’s office desktop. The software, known as the DTS ...

A team of Sweden-based researchers has developed a snow loss model to estimate snow-induced PV power losses on an hourly basis. The proposed approach relies solely on data from remote sensing sources, ...